Pith Number
pith:V7RF3HF7
pith:2017:V7RF3HF7GLQ4C6P7DBJX6TUXI2
not attested
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not stored
refs pending
Joint Semantic and Motion Segmentation for dynamic scenes using Deep Convolutional Networks
arxiv:1704.08331 v1 · 2017-04-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V7RF3HF7GLQ4C6P7DBJX6TUXI2}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T00:45:27.936639Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
afe25d9cbf32e1c179ff18537f4e97469eee209b47af993c9f487624e5853ad9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V7RF3HF7GLQ4C6P7DBJX6TUXI2 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: afe25d9cbf32e1c179ff18537f4e97469eee209b47af993c9f487624e5853ad9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "46d107465da29ffdbc2b20974396680534f0ba04c96b2edfff829707b6c57196",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-04-18T03:06:03Z",
"title_canon_sha256": "c2beb4ba9f7814f110256e19758cf2a81d2e4e84ca3b5740979f54b8df5d462b"
},
"schema_version": "1.0",
"source": {
"id": "1704.08331",
"kind": "arxiv",
"version": 1
}
}